09/09/2026 updated
YI
100 % available
Analytics Engineer | Senior Data Analyst | Data Platforms & Pipelines
Barcelona, Spain
Only remote
UC San Diego MicroMasters Program in Data Science (edX, 2019)dbtApache AirflowData AnalysisBusiness Intelligence DevelopmentGoogle BigQueryData ArchitectureData TransformationData ProfilingPredictive AnalyticsAzure Machine LearningPySparkData AnalyticsData PipelinePipeline ReportingDatabricks
Analytics Engineering
Expertise in SQL, dbt, data modeling and data marts, dimensional modeling, metric definitions, KPI frameworks, testing, documentation, data quality, and lineage. Proven track record of building layered dbt architectures on Databricks and delivering full data-product lifecycles from metric definition to dashboard development and stakeholder adoption.
Data Platforms & Pipelines
Hands-on experience with Databricks, Delta Lake, Snowflake, BigQuery, Azure, Airflow, PySpark, Python, and ELT/ETL. Demonstrated ability to design, build, and productionize end-to-end data pipelines, including automated data-quality and observability controls across production environments.
BI & Product Analytics
Proficiency in Tableau, KPI frameworks, event data analysis, experimentation, and self-service analytics. Experience developing KPI measurement frameworks from inception, building dashboards for Product, Engineering, and Analytics stakeholders, and translating data insights into actionable recommendations.
Engineering Practices
Solid grounding in Git, pull requests, CI/CD, code review, monitoring, and API integration, enabling reliable and maintainable data product delivery in collaborative engineering environments.
Machine Learning & NLP
Applied experience building ML microservices using FastAPI, sentence-transformers, FAISS, XGBoost, NLTK, pymorphy2, and scikit-learn for tasks such as anomaly detection, ticket classification, and fraud detection.
Hadoop/Hive & Legacy Data Systems
Experience migrating ETL workflows from legacy Teradata and Hive environments to modern Hadoop-based data lakes, refactoring SQL into PySpark and implementing automated retry logic to improve data reliability.
PostgreSQL & Relational Databases
Additional experience with PostgreSQL as part of a broader relational database skill set, complementing work across multiple data warehouse and lake platforms.
Docker & Infrastructure
Familiarity with Docker for containerization, supporting deployment and operationalization of data and ML services in production environments.
Internal Audit & Control
Strong background in internal audit and control roles across logistics, retail, and manufacturing, with experience in business processes, risk management, data validation, and executive decision support spanning over a decade.
Expertise in SQL, dbt, data modeling and data marts, dimensional modeling, metric definitions, KPI frameworks, testing, documentation, data quality, and lineage. Proven track record of building layered dbt architectures on Databricks and delivering full data-product lifecycles from metric definition to dashboard development and stakeholder adoption.
Data Platforms & Pipelines
Hands-on experience with Databricks, Delta Lake, Snowflake, BigQuery, Azure, Airflow, PySpark, Python, and ELT/ETL. Demonstrated ability to design, build, and productionize end-to-end data pipelines, including automated data-quality and observability controls across production environments.
BI & Product Analytics
Proficiency in Tableau, KPI frameworks, event data analysis, experimentation, and self-service analytics. Experience developing KPI measurement frameworks from inception, building dashboards for Product, Engineering, and Analytics stakeholders, and translating data insights into actionable recommendations.
Engineering Practices
Solid grounding in Git, pull requests, CI/CD, code review, monitoring, and API integration, enabling reliable and maintainable data product delivery in collaborative engineering environments.
Machine Learning & NLP
Applied experience building ML microservices using FastAPI, sentence-transformers, FAISS, XGBoost, NLTK, pymorphy2, and scikit-learn for tasks such as anomaly detection, ticket classification, and fraud detection.
Hadoop/Hive & Legacy Data Systems
Experience migrating ETL workflows from legacy Teradata and Hive environments to modern Hadoop-based data lakes, refactoring SQL into PySpark and implementing automated retry logic to improve data reliability.
PostgreSQL & Relational Databases
Additional experience with PostgreSQL as part of a broader relational database skill set, complementing work across multiple data warehouse and lake platforms.
Docker & Infrastructure
Familiarity with Docker for containerization, supporting deployment and operationalization of data and ML services in production environments.
Internal Audit & Control
Strong background in internal audit and control roles across logistics, retail, and manufacturing, with experience in business processes, risk management, data validation, and executive decision support spanning over a decade.
Experience
Professional experience5 - 10 years
Freelancer since2025
Languages
EnglishFluentRussianNative speaker
Project history
Embedded full-time in Kleinanzeigen Chat product team as a senior individual contributor, combining analytics engineering, product analytics, and data product ownership. Developed the Chat KPI measurement framework, designed and implemented a layered dbt architecture on Databricks, led end-to-end data discovery and data flows architecture planning across legacy GCP Pub/Sub and new Kafka-based Chat platforms, and established the first structured Chat insights framework using PySpark and Databricks.
Embedded full-time in Tesco's Data Science organization, developing and operating data products supporting production price-recommendation systems across multiple markets. Led redesign of a legacy pipeline from weekly aggregated data to transaction-level inputs, built region-specific ETL pipelines in PySpark/Hive, led migration of all ETL workflows from Teradata to a Hadoop-based data lake, implemented automated data-quality and observability controls, and designed an asynchronous integration service for price-optimization recommendations.
Built a Python ML microservice using FastAPI, sentence-transformers, and FAISS to predict handling times and auto-route support tickets. Prototyped a real-time NLP classifier using NLTK, pymorphy2, and scikit-learn. Developed an XGBoost-based anomaly detector for critical business processes. Designed and built an integrated budgeting solution using Power Query, Power Pivot, and DAX.